An AI-driven preparation tool that generates targeted interview questions and strategic answer frameworks based on specific job descriptions and company intelligence.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wanghong5233-offerpilot-interview-prep
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install wanghong5233-offerpilot-interview-prep using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Interview Prep Skill?
The Interview Prep skill is a specialized tool within the collection of Openclaw Skills designed to give candidates a competitive edge. By analyzing job descriptions (JD) and integrating company-specific intelligence, this skill provides users with a customized roadmap for their upcoming interviews. It moves beyond generic advice, offering specific technical and behavioral insights tailored to the specific role and organization.
This skill automates the research process for job seekers by identifying the most likely areas of focus and constructing key storylines that help demonstrate value to recruiters. Whether you are using a tracked job ID or providing raw text, the skill ensures your preparation is highly targeted and efficient.
Interview Prep Skill Use Cases
- Generating a custom question bank for a specific job application.
- Developing strategic answer tips and storylines based on company-specific intelligence.
- Creating a memorizable interview outline for quick review before a meeting.
- Simulating a mock Q&A session by identifying the most likely questions a hiring manager will ask.
How Interview Prep Skill Works
- The user initiates the skill by providing a job ID or manual input including company name, role title, and job description text.
- The skill sends a structured request to the local API endpoint, incorporating flags for company intelligence gathering.
- The AI engine processes the input to determine the hiring intent and technical requirements.
- A detailed response is returned containing a summary, likely focus areas, and prioritized interview questions with specific answer tips.
- The user reviews the strategy and can optionally trigger an export or a mock conversation to practice responses.
Interview Prep Skill Setup
To utilize this skill in your Openclaw Skills workflow, ensure your local API service is operational. You can test the integration using the following curl commands:
# Example using a Job ID
curl -sS -X POST "http://127.0.0.1:8010/api/interview/prep" \
-H "Content-Type: application/json" \
-d '{"job_id":"YOUR_JOB_ID","use_company_intel":true,"question_count":8}'
# Example using custom Job Description text
curl -sS -X POST "http://127.0.0.1:8010/api/interview/prep" \
-H "Content-Type: application/json" \
-d '{"company":"ExampleCorp","role_title":"DevOps Engineer","jd_text":"Experience with Kubernetes and CI/CD required.","use_company_intel":true,"question_count":8}'
Interview Prep Skill Data Schema & Taxonomy
The skill organizes its output into a structured format for easy parsing and review:
| Property | Description |
|---|---|
summary |
A high-level overview of the interview prep strategy. |
likely_focus |
Specific areas (technical/behavioral) the interviewer is expected to probe. |
key_storylines |
Recommended narratives the candidate should prepare to demonstrate fit. |
questions |
An array of objects including the question text, the interviewer's intent, and actionable answer tips. |
Interview Prep Skill Advanced Features
- Multi-source intelligence: Combines JD analysis with external company intel for deeper context.
- Custom depth control: Adjust the
question_countparameter to scale preparation from a quick brief to a deep dive. - Dynamic focus detection: Automatically prioritizes focus areas based on the balance of technical and soft skills in the job description.
- Interactive mock support: Seamlessly transition from question generation to interactive practice sessions.
SKILL.md
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